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Entry Level Data Scientist Jobs in Indiana (NOW HIRING)

SynergisticIT

Entry Level Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related STEM fields ... Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills ...

SynergisticIT

Jr Front End Developer

Indianapolis, IN · On-site

$99K - $115K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

SynergisticIT

Entry Level Software Engineer

Gary, IN · On-site

Excellent written and verbal communication skills Required skills for data science/machine learning ... entry-level position. The additional skills and project work with hands-on experience building ...

SynergisticIT

Python/R Programmer

Indianapolis, IN · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

INCOG

QC Scientist (Weekend Shift)

Fishers, IN · On-site

This entry-level role focuses on accurate execution, strong Good Documentation Practices (GDP), and ... Perform second-person verifications or peer reviews of data and documentation, as trained and ...

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Entry Level Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do entry level data scientist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for entry level data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What are popular job titles related to Entry Level Data Scientist jobs in Indiana? For Entry Level Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Indiana look for? The top searched job categories for Entry Level Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Scientist jobs? Cities in Indiana with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in Indiana as of June 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.
Entry Level Python Programmer/Data scientist/Analyst

Entry Level Python Programmer/Data scientist/Analyst

SynergisticIT

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist Opportunity

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement
  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
  • Must have Mathematics or Statistics background
Technical and Soft Skills Required
  • Experience in Python programming and understanding of the software development life cycle.
  • Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
  • Excellent written and verbal communication skills.
  • Highly motivated, self-learner, team player, and technically inquisitive.
  • Strong work ethics and creative problem-solving abilities.
Preferred Skills
  • Deep Learning
  • Data visualization
  • NLP
  • Scala
  • Django
Roles and Responsibilities
  • Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
  • Assess project requirements and develop data analysis algorithms.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.
Benefits
  • Competitive salary
  • Flexible work schedule & part-time off
  • E-verified
  • No relocation
  • H1B filing
  • On job technical support
  • Skill Enhancement
  • Opportunity to work with Fortune 500 Companies
Who Should Apply?

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.

Candidate's Outcome

: Best Programmers in USA | Best Coding Bootcamp - SynergisticIT

No third-party candidates or c2c candidates. If you are interested, please apply to the posting. No phone calls please, shortlisted candidates would be reached out.

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